CN113226157A - 用于原位或体外多参数细胞和亚细胞成像数据的计算系统病理学空间分析平台 - Google Patents
用于原位或体外多参数细胞和亚细胞成像数据的计算系统病理学空间分析平台 Download PDFInfo
- Publication number
- CN113226157A CN113226157A CN201980084101.2A CN201980084101A CN113226157A CN 113226157 A CN113226157 A CN 113226157A CN 201980084101 A CN201980084101 A CN 201980084101A CN 113226157 A CN113226157 A CN 113226157A
- Authority
- CN
- China
- Prior art keywords
- micro
- cellular
- pair
- imaging data
- phenotypes
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003384 imaging method Methods 0.000 title claims abstract description 106
- 230000001413 cellular effect Effects 0.000 title claims abstract description 98
- 230000007170 pathology Effects 0.000 title abstract description 14
- 238000000338 in vitro Methods 0.000 title description 10
- 238000011065 in-situ storage Methods 0.000 title description 10
- 238000004458 analytical method Methods 0.000 title description 4
- 238000011002 quantification Methods 0.000 claims abstract description 51
- 238000013139 quantization Methods 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 79
- 210000001519 tissue Anatomy 0.000 claims description 77
- 206010028980 Neoplasm Diseases 0.000 claims description 54
- 239000000090 biomarker Substances 0.000 claims description 44
- 238000004891 communication Methods 0.000 claims description 44
- 230000010267 cellular communication Effects 0.000 claims description 33
- 239000013598 vector Substances 0.000 claims description 20
- 238000010874 in vitro model Methods 0.000 claims description 19
- 201000010099 disease Diseases 0.000 claims description 16
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 16
- 206010061818 Disease progression Diseases 0.000 claims description 12
- 230000005750 disease progression Effects 0.000 claims description 12
- 230000000694 effects Effects 0.000 claims description 12
- 238000012545 processing Methods 0.000 claims description 12
- 230000004913 activation Effects 0.000 claims description 9
- 230000003592 biomimetic effect Effects 0.000 claims description 9
- 210000002220 organoid Anatomy 0.000 claims description 8
- 230000001394 metastastic effect Effects 0.000 claims description 7
- 206010061289 metastatic neoplasm Diseases 0.000 claims description 7
- 238000011269 treatment regimen Methods 0.000 claims description 6
- 238000010569 immunofluorescence imaging Methods 0.000 claims description 5
- 230000037361 pathway Effects 0.000 claims description 5
- 239000003814 drug Substances 0.000 claims description 4
- 229940079593 drug Drugs 0.000 claims description 4
- 239000003446 ligand Substances 0.000 claims description 3
- 238000012732 spatial analysis Methods 0.000 abstract description 7
- 210000004027 cell Anatomy 0.000 description 61
- 201000011510 cancer Diseases 0.000 description 29
- 238000010586 diagram Methods 0.000 description 8
- 230000001419 dependent effect Effects 0.000 description 6
- 230000006870 function Effects 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 230000002601 intratumoral effect Effects 0.000 description 5
- 210000000056 organ Anatomy 0.000 description 5
- 238000003860 storage Methods 0.000 description 5
- 230000001105 regulatory effect Effects 0.000 description 4
- 210000000130 stem cell Anatomy 0.000 description 4
- 230000002123 temporal effect Effects 0.000 description 4
- 238000013459 approach Methods 0.000 description 3
- 238000007876 drug discovery Methods 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 238000002372 labelling Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 230000009885 systemic effect Effects 0.000 description 3
- 238000011282 treatment Methods 0.000 description 3
- 210000004881 tumor cell Anatomy 0.000 description 3
- 206010009944 Colon cancer Diseases 0.000 description 2
- WZUVPPKBWHMQCE-UHFFFAOYSA-N Haematoxylin Chemical compound C12=CC(O)=C(O)C=C2CC2(O)C1C1=CC=C(O)C(O)=C1OC2 WZUVPPKBWHMQCE-UHFFFAOYSA-N 0.000 description 2
- 101001012157 Homo sapiens Receptor tyrosine-protein kinase erbB-2 Proteins 0.000 description 2
- 206010027476 Metastases Diseases 0.000 description 2
- 206010061309 Neoplasm progression Diseases 0.000 description 2
- 208000037062 Polyps Diseases 0.000 description 2
- 102100030086 Receptor tyrosine-protein kinase erbB-2 Human genes 0.000 description 2
- 230000000712 assembly Effects 0.000 description 2
- 238000000429 assembly Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 208000029742 colonic neoplasm Diseases 0.000 description 2
- 239000003086 colorant Substances 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- YQGOJNYOYNNSMM-UHFFFAOYSA-N eosin Chemical compound [Na+].OC(=O)C1=CC=CC=C1C1=C2C=C(Br)C(=O)C(Br)=C2OC2=C(Br)C(O)=C(Br)C=C21 YQGOJNYOYNNSMM-UHFFFAOYSA-N 0.000 description 2
- 238000002073 fluorescence micrograph Methods 0.000 description 2
- 210000004698 lymphocyte Anatomy 0.000 description 2
- 210000002540 macrophage Anatomy 0.000 description 2
- 230000009401 metastasis Effects 0.000 description 2
- 230000017074 necrotic cell death Effects 0.000 description 2
- 230000008520 organization Effects 0.000 description 2
- 238000011158 quantitative evaluation Methods 0.000 description 2
- 238000005295 random walk Methods 0.000 description 2
- 238000011084 recovery Methods 0.000 description 2
- 230000008929 regeneration Effects 0.000 description 2
- 238000011069 regeneration method Methods 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 230000005751 tumor progression Effects 0.000 description 2
- 102100040069 Aldehyde dehydrogenase 1A1 Human genes 0.000 description 1
- 101710150756 Aldehyde dehydrogenase, mitochondrial Proteins 0.000 description 1
- 102000008096 B7-H1 Antigen Human genes 0.000 description 1
- 108010074708 B7-H1 Antigen Proteins 0.000 description 1
- 208000009458 Carcinoma in Situ Diseases 0.000 description 1
- 208000035240 Disease Resistance Diseases 0.000 description 1
- 229920006934 PMI Polymers 0.000 description 1
- 208000006994 Precancerous Conditions Diseases 0.000 description 1
- 206010038111 Recurrent cancer Diseases 0.000 description 1
- 102000013814 Wnt Human genes 0.000 description 1
- 230000001464 adherent effect Effects 0.000 description 1
- 210000000577 adipose tissue Anatomy 0.000 description 1
- 238000001574 biopsy Methods 0.000 description 1
- 210000004204 blood vessel Anatomy 0.000 description 1
- 210000001185 bone marrow Anatomy 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004113 cell culture Methods 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 230000008045 co-localization Effects 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 238000003795 desorption Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000009510 drug design Methods 0.000 description 1
- 239000003596 drug target Substances 0.000 description 1
- 210000002889 endothelial cell Anatomy 0.000 description 1
- 210000002950 fibroblast Anatomy 0.000 description 1
- 238000000684 flow cytometry Methods 0.000 description 1
- 230000012010 growth Effects 0.000 description 1
- 210000002865 immune cell Anatomy 0.000 description 1
- 238000010166 immunofluorescence Methods 0.000 description 1
- 230000000495 immunoinflammatory effect Effects 0.000 description 1
- 238000012744 immunostaining Methods 0.000 description 1
- 201000004933 in situ carcinoma Diseases 0.000 description 1
- 238000001727 in vivo Methods 0.000 description 1
- 210000004263 induced pluripotent stem cell Anatomy 0.000 description 1
- 208000027866 inflammatory disease Diseases 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 230000010262 intracellular communication Effects 0.000 description 1
- 208000024312 invasive carcinoma Diseases 0.000 description 1
- 238000010884 ion-beam technique Methods 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 230000036210 malignancy Effects 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000004949 mass spectrometry Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000000816 matrix-assisted laser desorption--ionisation Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 208000030159 metabolic disease Diseases 0.000 description 1
- 230000002503 metabolic effect Effects 0.000 description 1
- 238000002705 metabolomic analysis Methods 0.000 description 1
- 230000001431 metabolomic effect Effects 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 230000003278 mimic effect Effects 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000035772 mutation Effects 0.000 description 1
- 230000009826 neoplastic cell growth Effects 0.000 description 1
- 208000015122 neurodegenerative disease Diseases 0.000 description 1
- 230000000626 neurodegenerative effect Effects 0.000 description 1
- 239000002547 new drug Substances 0.000 description 1
- 238000000399 optical microscopy Methods 0.000 description 1
- 238000011369 optimal treatment Methods 0.000 description 1
- 210000003668 pericyte Anatomy 0.000 description 1
- 230000026731 phosphorylation Effects 0.000 description 1
- 238000006366 phosphorylation reaction Methods 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 230000000306 recurrent effect Effects 0.000 description 1
- 230000011514 reflex Effects 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- ZRKFYGHZFMAOKI-QMGMOQQFSA-N tgfbeta Chemical compound C([C@H](NC(=O)[C@H](C(C)C)NC(=O)CNC(=O)[C@H](CCC(O)=O)NC(=O)[C@H](CCCNC(N)=N)NC(=O)[C@H](CC(N)=O)NC(=O)[C@H](CC(C)C)NC(=O)[C@H]([C@@H](C)O)NC(=O)[C@H](CCC(O)=O)NC(=O)[C@H]([C@@H](C)O)NC(=O)[C@H](CC(C)C)NC(=O)CNC(=O)[C@H](C)NC(=O)[C@H](CO)NC(=O)[C@H](CCC(N)=O)NC(=O)[C@@H](NC(=O)[C@H](C)NC(=O)[C@H](C)NC(=O)[C@@H](NC(=O)[C@H](CC(C)C)NC(=O)[C@@H](N)CCSC)C(C)C)[C@@H](C)CC)C(=O)N[C@@H]([C@@H](C)O)C(=O)N[C@@H](C(C)C)C(=O)N[C@@H](CC=1C=CC=CC=1)C(=O)N[C@@H](C)C(=O)N1[C@@H](CCC1)C(=O)N[C@@H]([C@@H](C)O)C(=O)N[C@@H](CC(N)=O)C(=O)N[C@@H](CCC(O)=O)C(=O)N[C@@H](C)C(=O)N[C@@H](CC=1C=CC=CC=1)C(=O)N[C@@H](CCCNC(N)=N)C(=O)N[C@@H](C)C(=O)N[C@@H](CC(C)C)C(=O)N1[C@@H](CCC1)C(=O)N1[C@@H](CCC1)C(=O)N[C@@H](CCCNC(N)=N)C(=O)N[C@@H](CCC(O)=O)C(=O)N[C@@H](CCCNC(N)=N)C(=O)N[C@@H](CO)C(=O)N[C@@H](CCCNC(N)=N)C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](CC(C)C)C(O)=O)C1=CC=C(O)C=C1 ZRKFYGHZFMAOKI-QMGMOQQFSA-N 0.000 description 1
- 230000001225 therapeutic effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
- 238000002054 transplantation Methods 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
- 238000007482 whole exome sequencing Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
- G06V20/698—Matching; Classification
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
- G01N33/574—Immunoassay; Biospecific binding assay; Materials therefor for cancer
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
- G06V10/422—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation for representing the structure of the pattern or shape of an object therefor
- G06V10/426—Graphical representations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/761—Proximity, similarity or dissimilarity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30096—Tumor; Lesion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/03—Recognition of patterns in medical or anatomical images
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Multimedia (AREA)
- Immunology (AREA)
- Chemical & Material Sciences (AREA)
- Medical Informatics (AREA)
- Urology & Nephrology (AREA)
- Hematology (AREA)
- Pathology (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Biochemistry (AREA)
- Analytical Chemistry (AREA)
- Medicinal Chemistry (AREA)
- Food Science & Technology (AREA)
- Computing Systems (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Data Mining & Analysis (AREA)
- Radiology & Medical Imaging (AREA)
- Hospice & Palliative Care (AREA)
- Oncology (AREA)
- Biotechnology (AREA)
- Cell Biology (AREA)
- Microbiology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Quality & Reliability (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Biology (AREA)
- Biophysics (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862781759P | 2018-12-19 | 2018-12-19 | |
| US62/781,759 | 2018-12-19 | ||
| PCT/US2019/066446 WO2020131658A1 (fr) | 2018-12-19 | 2019-12-16 | Plateforme d'analyse spatiale de pathologie à systèmes de calcul pour données d'imagerie cellulaires et infracellulaires à paramètres multiples in situ ou in vitro |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113226157A true CN113226157A (zh) | 2021-08-06 |
Family
ID=71101596
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201980084101.2A Pending CN113226157A (zh) | 2018-12-19 | 2019-12-16 | 用于原位或体外多参数细胞和亚细胞成像数据的计算系统病理学空间分析平台 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US11983943B2 (fr) |
| EP (1) | EP3897360A4 (fr) |
| JP (2) | JP7420401B2 (fr) |
| CN (1) | CN113226157A (fr) |
| CA (1) | CA3123641A1 (fr) |
| WO (1) | WO2020131658A1 (fr) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20230207074A1 (en) * | 2020-06-15 | 2023-06-29 | Bragg Analytics, Inc. | Diffraction-based global in vitro diagnostic system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180204085A1 (en) * | 2015-06-11 | 2018-07-19 | University Of Pittsburgh-Of The Commonwealth System Of Higher Education | Systems and methods for finding regions of interest in hematoxylin and eosin (h&e) stained tissue images and quantifying intratumor cellular spatial heterogeneity in multiplexed/hyperplexed fluorescence tissue images |
| US20180239949A1 (en) * | 2015-02-23 | 2018-08-23 | Cellanyx Diagnostics, Llc | Cell imaging and analysis to differentiate clinically relevant sub-populations of cells |
Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005111905A2 (fr) * | 2004-05-17 | 2005-11-24 | Max-Planck Gesellschaft zur Förderung der Wissenschaften e.V. | Prevision du comportement dynamique d'un systeme biologique |
| WO2008124138A1 (fr) * | 2007-04-05 | 2008-10-16 | Aureon Laboratories, Inc. | Systèmes et procédés destinés à traiter, diagnostiquer et prévoir la survenue d'un état médical |
| US8559693B2 (en) | 2007-10-11 | 2013-10-15 | British Columbia Cancer Agency Branch | Systems and methods for automated characterization of genetic heterogeneity in tissue samples |
| EP2702411A4 (fr) | 2011-04-29 | 2015-07-22 | Cancer Prevention & Cure Ltd | Procédés d'identification et de diagnostic de maladies pulmonaires à l'aide de systèmes de classification et leurs kits |
| US9370304B2 (en) * | 2012-06-06 | 2016-06-21 | The Regents Of The University Of Michigan | Subvolume identification for prediction of treatment outcome |
| US8873827B2 (en) * | 2012-06-29 | 2014-10-28 | General Electric Company | Determination of spatial proximity between features of interest in biological tissue |
| CA2890964C (fr) * | 2012-12-28 | 2023-07-25 | Ventana Medical Systems, Inc. | Analyse d'image pour pronostic de cancer du sein |
| US20140372450A1 (en) * | 2013-06-14 | 2014-12-18 | General Electric Company | Methods of viewing and analyzing high content biological data |
| WO2015069827A2 (fr) * | 2013-11-06 | 2015-05-14 | H. Lee Moffitt Cancer Center And Research Institute, Inc. | Examen et analyse d'un cas pathologique et prédiction associée |
| US9626583B2 (en) * | 2013-12-12 | 2017-04-18 | University of Pittsburg—Of the Commonwealth System of Higher Education | Automated epithelial nuclei segmentation for computational disease detection algorithms |
| US9483685B2 (en) * | 2014-04-28 | 2016-11-01 | University Of Pittsburgh - Of The Commonwealth System Of Higher Education | System and method for automated identification of abnormal ciliary motion |
| US10176408B2 (en) * | 2015-08-14 | 2019-01-08 | Elucid Bioimaging Inc. | Systems and methods for analyzing pathologies utilizing quantitative imaging |
| US9613254B1 (en) * | 2015-09-30 | 2017-04-04 | General Electric Company | Quantitative in situ characterization of heterogeneity in biological samples |
| NL2016281B1 (en) * | 2016-02-18 | 2017-08-24 | Perkinelmer Health Sciences B V | Means and methods for spheroid cell culturing and analysis. |
| CA3052250A1 (fr) | 2016-07-27 | 2018-02-01 | The University Of North Carolina At Chapel Hill | Procedes pour generer des echafaudages polymeres ayant un gradient de densite de reticulation |
| EP3721406B1 (fr) * | 2017-12-05 | 2024-01-24 | Ventana Medical Systems, Inc. | Procédé de calcul d'hétérogénéité spatiale et entre marqueurs de tumeur |
| CN112543934A (zh) * | 2018-06-22 | 2021-03-23 | H-Labs股份有限公司 | 一种确定异常程度的方法、相应的计算机可读介质和分布式癌症分析系统 |
-
2019
- 2019-12-16 WO PCT/US2019/066446 patent/WO2020131658A1/fr unknown
- 2019-12-16 CN CN201980084101.2A patent/CN113226157A/zh active Pending
- 2019-12-16 CA CA3123641A patent/CA3123641A1/fr active Pending
- 2019-12-16 EP EP19898372.8A patent/EP3897360A4/fr active Pending
- 2019-12-16 US US17/413,971 patent/US11983943B2/en active Active
- 2019-12-16 JP JP2021535632A patent/JP7420401B2/ja active Active
-
2023
- 2023-12-28 JP JP2023222063A patent/JP2024038186A/ja active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180239949A1 (en) * | 2015-02-23 | 2018-08-23 | Cellanyx Diagnostics, Llc | Cell imaging and analysis to differentiate clinically relevant sub-populations of cells |
| US20180204085A1 (en) * | 2015-06-11 | 2018-07-19 | University Of Pittsburgh-Of The Commonwealth System Of Higher Education | Systems and methods for finding regions of interest in hematoxylin and eosin (h&e) stained tissue images and quantifying intratumor cellular spatial heterogeneity in multiplexed/hyperplexed fluorescence tissue images |
Non-Patent Citations (2)
| Title |
|---|
| BÜLENT YENER，等: "Cell-graphs: image-driven modeling of structure-function relationship", COMMUNICATIONS OF THE ACM, vol. 60, no. 1, pages 74 - 84 * |
| DANIEL M. SPAGNOLO ，等: "Platform for Quantitative Evaluation of Spatial Intratumoral Heterogeneity in Multiplexed Fluorescence Images", CANCER, vol. 21, no. 77, pages 1 - 3 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CA3123641A1 (fr) | 2020-06-25 |
| JP2022514373A (ja) | 2022-02-10 |
| JP2024038186A (ja) | 2024-03-19 |
| WO2020131658A1 (fr) | 2020-06-25 |
| US20220044401A1 (en) | 2022-02-10 |
| JP7420401B2 (ja) | 2024-01-23 |
| EP3897360A1 (fr) | 2021-10-27 |
| EP3897360A4 (fr) | 2022-03-16 |
| US11983943B2 (en) | 2024-05-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11376441B2 (en) | Systems and methods for finding regions of in interest in hematoxylin and eosin (HandE) stained tissue images and quantifying intratumor cellular spatial heterogeneity in multiplexed/hyperplexed fluorescence tissue | |
| Ren et al. | Reconstruction of cell spatial organization from single-cell RNA sequencing data based on ligand-receptor mediated self-assembly | |
| JP7168237B2 (ja) | ヘマトキシリン・エオシン（ｈ＆ｅ）染色組織画像における関心領域を調べて、多重化／高多重化蛍光組織画像で腫瘍内細胞空間的不均一性を定量化するシステム及び方法 | |
| JP2024038186A (ja) | インサイチュ又はインビトロでのマルチパラメータ細胞及び細胞内画像データ用の計算システムパソロジー空間分析プラットフォーム | |
| Yuan et al. | SOTIP is a versatile method for microenvironment modeling with spatial omics data | |
| Rozova et al. | Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness | |
| Dominietto et al. | Role of complex networks for integrating medical images and radiomic features of intracranial ependymoma patients in response to proton radiotherapy | |
| Piraud et al. | Towards quantitative imaging biomarkers of tumor dissemination: a multi-scale parametric modeling of multiple myeloma | |
| US20240185626A1 (en) | Computational systems pathology spatial analysis platform for in situ or in vitro multi-parameter cellular and subcellular imaging data | |
| Karaçalı et al. | Automated recognition of cell phenotypes in histology images based on membrane-and nuclei-targeting biomarkers | |
| US20140372450A1 (en) | Methods of viewing and analyzing high content biological data | |
| Kiemen et al. | Power-law growth models explain incidences and sizes of pancreatic cancer precursor lesions and confirm spatial genomic findings | |
| US20240135541A1 (en) | Method of extracting gene candidate, method of utilizing gene candidate, and computer-readable medium | |
| Storey et al. | Spatial measures of genetic heterogeneity during carcinogenesis | |
| Gu et al. | A network regularized linear model to infer spatial expression pattern for single cells | |
| Shao et al. | Pixel-Level Classification of Five Histologic Patterns of Lung Adenocarcinoma | |
| US20210383894A1 (en) | Spatially co-registered genomic and imaging (scorgi) data elements for fingerprinting microdomains | |
| Skardal et al. | Mahesh Devarasetty1, Anthony Dominijanni1, Samuel Herberg2, Ethan Shelkey1 | |
| Hu | Machine Learning Methods For The Analysis Of Single-Cell And Spatially Resolved Transcriptomics Data | |
| Long et al. | DeepST: A versatile graph contrastive learning framework for spatially informed clustering, integration, and deconvolution of spatial transcriptomics | |
| JP2024061054A (ja) | 遺伝子候補を抽出する方法、遺伝子候補を活用する方法、及び、プログラム | |
| Peirce-Cottler | Joseph Walpole | |
| Zirem et al. | Development of Molecular Digital Twins Based on Ambient Ionization Mass Spectrometry Imaging for Real-Time Application in Oncological Surgery |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |